A Process-Aware Model for Industrial IoT Integration and Analytics based on Knowledge Graphs

The integration of the huge data streams produced by the Industrial Internet of Things (IIoT) can provide invaluable knowledge in the context of Industry 4.0/5.0, but is also an open research issue. The present paper proposes a semantic approach to this issue, centered around the notion of process as the backbone. The fundamental elements involved in IIoT and their relations are represented in an ontology, serving as a schema for a Process-aware IIoT Knowledge Graph where raw sensor data are enriched with information about process activities and the physical production environment. On top of that, a framework is developed for process-aware analytics and exploration of the IIoT data.